Gal Kaplun

4 papers and 188 indexed citations i.

Gal Kaplun is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gal Kaplun has authored 4 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Gal Kaplun’s work include Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Gal Kaplun is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Machine Learning and Algorithms (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Gal Kaplun collaborates with scholars based in United States and Germany. Gal Kaplun's co-authors include Preetum Nakkiran, Boaz Barak, Yamini Bansal, Ilya Sutskever and Boaz Barak and has published in prestigious journals such as Nature Communications and Journal of Statistical Mechanics Theory and Experiment.